AI Manager (m/f/d) at HOSOKAWA ALPINE Aktiengesellschaft
Berlin, Berlin, Germany -
Full Time


Start Date

Immediate

Expiry Date

31 Dec, 26

Salary

0.0

Posted On

28 Aug, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Industry

Information Technology & Services

Description

We are looking for an AI Manager (m/f/d) at our headquarters in Augsburg.

Do you want to actively shape the AI ​​future of our industrial group and take digital transformation to the next level? Are you good at building bridges, inspiring people with innovation, and fostering trust in new ways of working? Are you motivated to develop real added value for people, processes, and the company with innovative AI solutions – in both production-related and administrative areas? Do you combine technological vision with strategic thinking and understand artificial intelligence as a crucial success factor for sustainable value creation? 

Then you might be a good fit for us!

Hosokawa Alpine is internationally renowned for high-quality, durable machinery and equipment. We are among the world's leading companies in mechanical process engineering and film extrusion. With over 125 years of experience, we offer efficient solutions for numerous industries. Whether complex films or the finest powders in sectors such as pharmaceuticals, chemicals, food, or recycling – we are a full-service provider covering all process steps. With approximately 840 employees, we rely on sustainable technologies made in Germany and guarantee maximum customer satisfaction. Global presence, a future-oriented approach, flat hierarchies, and exciting challenges in special-purpose machine construction characterize our company.

Your tasks:

  • AI Strategy & Governance: Development and management of a group-wide AI strategy that is economically sound and technologically future-proof.
  • Development of an AI governance framework including ethics guidelines, data policies and compliance requirements (EU AI Act)
  • Prioritization of AI use cases based on value contribution, feasibility, and risk.
  • Transformation & Change Management: Responsibility for the cultural and organizational change during the introduction of AI
  • Development of change programs that engage, qualify and empower employees (reskilling, AI literacy)
  • Stakeholder management at all levels: board of directors, executives, employees
  • Managing external partners, startups and technology providers
  • Piloting, scaling and success measurement of AI applications (OKRs, ROI, Social KPIs)


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Responsibilities
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